{"title":"Carbon reduction in the AI era: How does urban digital intelligence transformation facilitate low-carbon development?","authors":"Xing Guo, Jiajun Xu","doi":"10.1016/j.uclim.2025.102449","DOIUrl":null,"url":null,"abstract":"<div><div>Under the backdrop of global climate governance and China's dual carbon objectives, this research explores how urban digital intelligence transformation (DIT) aids low-carbon development. By using city-level panel data from China (2016–2021) and applying the difference-in-differences (DID) approach, we assess the influence of Artificial Intelligence Innovation Development Pilot Zones (AIIDPZs) on carbon emission intensity (CEI). Results demonstrate that AIIDPZs significantly reduce CEI, primarily through technological progress and energy efficiency improvements. Heterogeneity analysis reveals stronger effects in non-resource-based cities, eastern areas, high-GDP cities, and areas with advanced internet infrastructure, while resource-dependent and less-developed regions exhibit limited benefits. Further, public participation and stringent environmental regulations amplify the policy's effectiveness, underscoring the importance of “technology-society-institution” collaborative governance. Notably, AIIDPZs achieve emission reductions without increasing industrial pollution, balancing technological innovation with environmental sustainability. This research offers fresh perspectives on the role of urban DIT in fostering low-carbon development and offers empirical support for policymaking.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102449"},"PeriodicalIF":6.0000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212095525001658","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Under the backdrop of global climate governance and China's dual carbon objectives, this research explores how urban digital intelligence transformation (DIT) aids low-carbon development. By using city-level panel data from China (2016–2021) and applying the difference-in-differences (DID) approach, we assess the influence of Artificial Intelligence Innovation Development Pilot Zones (AIIDPZs) on carbon emission intensity (CEI). Results demonstrate that AIIDPZs significantly reduce CEI, primarily through technological progress and energy efficiency improvements. Heterogeneity analysis reveals stronger effects in non-resource-based cities, eastern areas, high-GDP cities, and areas with advanced internet infrastructure, while resource-dependent and less-developed regions exhibit limited benefits. Further, public participation and stringent environmental regulations amplify the policy's effectiveness, underscoring the importance of “technology-society-institution” collaborative governance. Notably, AIIDPZs achieve emission reductions without increasing industrial pollution, balancing technological innovation with environmental sustainability. This research offers fresh perspectives on the role of urban DIT in fostering low-carbon development and offers empirical support for policymaking.
期刊介绍:
Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following:
Urban meteorology and climate[...]
Urban environmental pollution[...]
Adaptation to global change[...]
Urban economic and social issues[...]
Research Approaches[...]